Comments (1)
确保你的文档已经被正确索引是解决这个问题的第一步。请检查以下几个方面:
-
文档索引确认:确保你添加到
knowledge_base/samples/content/test_files
目录中的文档已经被正确索引。你可以通过查看索引日志或使用提供的工具来验证索引状态。 -
配置检查:再次确认你的配置文件(如
config.json
或其他相关配置)是否正确设置,特别是与知识库路径、模型和向量库类型相关的配置。 -
知识库服务:确保知识库服务正在正确运行。如果你使用的是如faiss或milvus这样的向量库,确认服务是否启动并且可以被你的应用访问。
如果在检查这些方面后问题仍然存在,可能需要更深入地调查,包括查看应用的日志文件,以确定是否有错误或警告信息指示了问题的根源。
Details
Sources
- 如何提高知识库检索的正确性?
- 知识库更新中的各种问题
- [BUG] 上传json/jsonl文件且向量化后,网页端看不到划分后的知识库并且模型找不到相应的检索知识库
- 知识库未检索到文档,自己回复了
- v0.2.x版本基于知识库的回答无法匹配出知识库知识
- 为什么有的文档作为知识库的时候,会出现加载不成功的情况呢?
- 使用BaiChuan13B进行知识库问答,模型不回答或者答非所问
- startup.py
- init_database.py
- server/chat/knowledge_base_chat.py
- tests/api/test_kb_api_request.py
- tests/api/test_kb_api.py
- markdown_docs/server/reranker/reranker.md
- server/reranker/reranker.py
- knowledge_base/samples/content/test_files/langchain-ChatGLM_open.jsonl
- server/knowledge_base/kb_cache/faiss_cache.py
- server/knowledge_base/kb_service/faiss_kb_service.py
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Related Issues (20)
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- 以docker方式运行时,如何修改启动参数 HOT 1
- 本地加载大模型,qwen15-32B-AWQ,不能使用GPU,请问要如何配置 HOT 3
- [FEATURE] 增加对非OpenXML格式的Word文件(.doc)的识别 HOT 2
- 设置CHUNK_SIZE 检索知识库返回content长度无变化 HOT 1
- 知识库检索的代码 HOT 2
- 没有报错,URL正确输出,点击后无法显示,加载不出UI界面 HOT 2
- [BUG] 简洁阐述问题 / 使用命令 python startup.py -a启动时出错 HOT 1
- 0.2.10,对话报错 HOT 1
- 对话正常,切换到知识库,报错:UnicodeEncodeError: 'utf-8' codec can't encode characters in position 4-5: surrogates not allowed HOT 2
- 切换milvus向量库,初始化数据报错 HOT 1
- 使用milvus数据库,初始化数据库的时候,显存爆炸。 HOT 2
- windows 上启动后进行交互,请求地址出现https://api.segment.io/v1/t,请问这是在哪配置的 HOT 1
- 对Qwen1.5以上模型使用vllm加速推理依赖问题 HOT 1
- 对Qwen1.5以上模型使用vllm加速推理依赖问题 HOT 1
- 上传文件后对话正常,返回知识库时报错:Bad message format Tried to use SessionInfo before it was initialized HOT 1
- 连接milvus数据库,进行初始化数据库,报错 HOT 3
- cannot import name 'AutoTokenizer' from 'transformers'错误 HOT 1
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